Project Grant 2534807
- This National Science Foundation (NSF) Project Grant award of $199,637.00 to the Rochester Institute of Technology (RIT), under the NSF Directorate for Engineering (CFDA 47.041) program, aims to enhance the robustness and efficiency of quantum computing hardware and applications. The key objectives are to: 1) Apply machine learning techniques to extract useful information from the noisy output of quantum computers, enabling their practical use despite hardware limitations, and 2) Identify...
- This $500,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support the implementation of a CyberTraining program focused on modeling quantum dynamics of excited states in materials using machine learning techniques. The project aims to address a critical national need for enhanced training in computational methods that support the design of advanced materials for applications in solar energy, quantum...
- This $700,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will fund the development of machine learning tools and quantum-classical hybrid algorithms to advance quantum materials research and optimize the use of noisy intermediate-scale quantum devices. Led by Cornell University with subawards to Princeton University, New York University, and Harvard University, the project will deliver new topological materials, a...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $172,114 to the University of Wisconsin - Madison to investigate statistical challenges in quantum learning. The research aims to develop novel statistical techniques to demonstrate the advantages of quantum approaches over classical methods for complex machine learning tasks. The project will also integrate research with workforce development, including...
- This $471,864 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports a collaborative research project to develop an integrated framework for revolutionizing quantum computing education. The key products and services to be delivered include: A modular quantum training platform that integrates a tiered curriculum from foundational quantum principles to system and application development, coupled with engaging...
- This federal Project Grant award of $540,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a comprehensive framework for designing and operating efficient quantum networks. The project, titled "NETS: SMALL: SURROGATE-ASSISTED FULL-STACK OPTIMIZATION OF QUANTUM NETWORKS WITH REINFORCEMENT LEARNING," aims to create intelligent control policies and optimize hardware to enable near-term quantum...
- This $299,943 Project Grant award from the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences) supports research at the Colorado School of Mines to advance quantum information science and technology. The project aims to quantify a key mathematical challenge to the promise of quantum computing, specifically regarding "near-integrability" in quantum many-body systems. This work will develop new workforce talent via student training and result in better design...
- The National Science Foundation (NSF) awarded a $420,000 Project Grant through the Mathematical and Physical Sciences (CFDA 47.049) program to Northeastern University. The 3-year grant, beginning August 1, 2024, will fund research focused on developing novel machine learning-inspired computational methods and advancing the understanding of quantum many-body systems. Key efforts include: 1) applying neural network models based on "quantum attention" to study quantum many-body ground...
- This $300,000 Project Grant awarded by the National Science Foundation's (NSF) Office of International Science and Engineering (CFDA 47.079) program will support a collaborative research project called "QUANTINT: Quantum Information and Network Theory: Algorithms and Performance Limits." The objective is to characterize the fundamental limits of quantum information and learning theory and achieve performance breakthroughs in distributed information processing. Key focus areas include...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $150,000 over a 2-year period from August 1, 2024 to July 31, 2026 to the University of Oklahoma. The project aims to develop machine learning-based divergent design index tuning algorithms on quantum computers for large-scale database applications. The key objectives are to implement these quantum algorithms, conduct comprehensive performance...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $417,818 to The Regents of the University of Colorado (CU) in Boulder, CO for the project "ENHANCING MACHINE LEARNING VIA QUANTUM EFFECTS" from September 1, 2025 to August 31, 2028. The project explores how quantum physics phenomena, specifically quantum correlations, can be leveraged to design more efficient machine learning models based on quantum computing. The research aims to build quantum machine learning models that are less computationally costly and complex compared to classical models, while demonstrating the practical benefits of quantum correlations for learning from real-world data like natural language. The project will integrate the research into graduate and undergraduate education, along with outreach to the quantum industry, to advance the development of practical quantum machine learning systems.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $417.8k | 8/15/25 |